class_docstr: A structured environment which returns random actions
docstr: Two-step, single agent env.
docstr_tok: ["Two-step",",","single","agent","env","."]
code: def agent_counts_dict(self) -> Dict[StepKeyType, int]:
      """Two-step, single agent env."""
      return {0: 1, 1: 1}
  
imports: from typing import Any, Dict, Union, Tuple, Callable, Optional
  import gym
  import numpy
  from maze.core.env.maze_env import MazeEnv
  from maze.core.env.structured_env import StructuredEnv, StepKeyType, ActorID
  from maze.core.env.structured_env_spaces_mixin import StructuredEnvSpacesMixin
  from maze.core.wrappers.wrapper import Wrapper
label_desc: Use image node_id 7 for calling the DummyStructuredEnvironment obj's underlying member method code with example usage: obj.agent_counts_dict() and returns: dict